Welcome to the gateway of advanced data analysis and machine learning expertise! In this jab, I offer comprehensive solutions to your data-driven challenges, leveraging cutting-edge algorithms and techniques to unlock valuable insights from your datasets.

Here's a simple breakdown of what I offer:

Algorithms:

• In machine learning (ML), I cover methods like Nearest Neighbor, Naive Bayes, Decision Trees, and Linear Regression, along with Support Vector Machines (SVM).
• For deep learning (DL), I specialize in Convolutional Neural Networks (CNNs), Long Short Term Memory Networks (LSTMs), Recurrent Neural Networks (RNNs), and Multilayer Perceptrons (MLPs), as well as Autoencoders.
• Additionally, I work with Transformers like BERT, ALBERT, XLNET, and RoBERTa.

Data Pre-processing:

• I handle various tasks to clean and prepare data, including lowercasing, removing extra whitespaces, tokenization, spelling correction, stopwords removal, punctuation removal, stemming, lemmatization, and more.
• This also involves removing URLs and HTML tags from text.

I utilize different types of features to represent data, such as word n-grams, character n-grams, word embeddings like GloVe, social media features, statistical features, psycho-linguistic features, sentence embeddings, and others.